{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:EQQABIY7UJAFOH2LDBP7HAL6BL","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"cd38ccbad9b789e48c75d6fcc8d319f238adc41421934b62b0a35815e2c88184","cross_cats_sorted":["cs.AI","cs.NA","math.NA","stat.CO","stat.ME","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-08T19:39:59Z","title_canon_sha256":"436702bce71a5e525e0e4f10e8517873a50232fb363eabcb530cbb17948e3037"},"schema_version":"1.0","source":{"id":"2606.19361","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.19361","created_at":"2026-06-19T16:12:23Z"},{"alias_kind":"arxiv_version","alias_value":"2606.19361v1","created_at":"2026-06-19T16:12:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19361","created_at":"2026-06-19T16:12:23Z"},{"alias_kind":"pith_short_12","alias_value":"EQQABIY7UJAF","created_at":"2026-06-19T16:12:23Z"},{"alias_kind":"pith_short_16","alias_value":"EQQABIY7UJAFOH2L","created_at":"2026-06-19T16:12:23Z"},{"alias_kind":"pith_short_8","alias_value":"EQQABIY7","created_at":"2026-06-19T16:12:23Z"}],"graph_snapshots":[{"event_id":"sha256:b407ae189ec0f9a6183dd5f5fa2750273d7e956b65c882b86b79fbaa45d0fdcf","target":"graph","created_at":"2026-06-19T16:12:23Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2606.19361/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Identification conditions describe the computability of a target query or parameter of interest as a function of the type and amount of information available. In causal identification, this information is often expressed in the form of a causal graph, and data are observed or collected for some subset of variables in the graph. Target queries may be for a single effect alone or for a class of effects in a given model. The derivation of an identification algorithm then defines mathematically the process by which the desired causal effect(s) can be uniquely determined, theoretically, in expectat","authors_text":"Kyunghyun Cho, Lucius E.J. Bynum, Rajesh Ranganath","cross_cats":["cs.AI","cs.NA","math.NA","stat.CO","stat.ME","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-08T19:39:59Z","title":"Computational Identifiability"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19361","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:d8a30d6436f7030921882ae754c5b15480f3b8da5065b737b9d3a904401d4094","target":"record","created_at":"2026-06-19T16:12:23Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"cd38ccbad9b789e48c75d6fcc8d319f238adc41421934b62b0a35815e2c88184","cross_cats_sorted":["cs.AI","cs.NA","math.NA","stat.CO","stat.ME","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-08T19:39:59Z","title_canon_sha256":"436702bce71a5e525e0e4f10e8517873a50232fb363eabcb530cbb17948e3037"},"schema_version":"1.0","source":{"id":"2606.19361","kind":"arxiv","version":1}},"canonical_sha256":"242000a31fa240571f4b185ff3817e0aeabae3a2abee00b52fcb47856f382192","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"242000a31fa240571f4b185ff3817e0aeabae3a2abee00b52fcb47856f382192","first_computed_at":"2026-06-19T16:12:23.160890Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:12:23.160890Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Q5ZCLJVEusa7JZjgugF++NLWVZpLtMI5Jl5yhozJu6V7FvVNcP/jZIBZGXzO8affj8hZNIQIX+t0QTMAadlEBg==","signature_status":"signed_v1","signed_at":"2026-06-19T16:12:23.161335Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.19361","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d8a30d6436f7030921882ae754c5b15480f3b8da5065b737b9d3a904401d4094","sha256:b407ae189ec0f9a6183dd5f5fa2750273d7e956b65c882b86b79fbaa45d0fdcf"],"state_sha256":"aef1467a9ef895b53e8c67cd11d5452b7e04cedfc10f13b8af2a82f85cf26985"}